Toward a universal unit for quantification of antibiotic resistance genes in environmental samples

Xiaole Yin, Xi Chen, Xiao-Tao Jiang, Ying Yang, Bing Li, Marcus Ho-Hin Shum, Tommy T. Y. Lam, Gabriel M. Leung, Joan Rose, Concepcion Sanchez-Cid, Timothy M. Vogel, Fiona Walsh, Thomas U. Berendonk, Janet Midega, Chibuzor Uchea, Dominic Frigon, Gerard D. Wright, Carlos Bezuidenhout, Renata C. Picão, Shaikh Z. AhammadPer Halkjær Nielsen, Philip Hugenholtz, Nicholas J. Ashbolt, Gianluca Corno, Despo Fatta-Kassinos, Helmut Bürgmann, Heike Schmitt, Chang-Jun Cha, Amy Pruden, Kornelia Smalla, Eddie Cytryn, Yu Zhang, Min Yang, Yong Guan Zhu, Arnaud Dechesne, Barth F. Smets, David W. Graham, Michael R. Gillings, William H. Gaze, Célia M. Manaia, Mark C. M. van Loosdrecht, Pedro J. J. Alvarez, Martin J. Blaser, James M. Tiedje, Edward Topp, Tong Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

Surveillance of antibiotic resistance genes (ARGs) has been increasingly conducted in environmental sectors to complement the surveys in human and animal sectors under the “One-Health” framework. However, there are substantial challenges in comparing and synthesizing the results of multiple studies that employ different test methods and approaches in bioinformatic analysis. In this article, we consider the commonly used quantification units (ARG copy per cell, ARG copy per genome, ARG density, ARG copy per 16S rRNA gene, RPKM, coverage, PPM, etc.) for profiling ARGs and suggest a universal unit (ARG copy per cell) for reporting such biological measurements of samples and improving the comparability of different surveillance efforts.

Original languageEnglish
Pages (from-to)9713-9721
Number of pages9
JournalEnvironmental Science and Technology
Volume57
Issue number26
Early online date13 Jun 2023
DOIs
Publication statusPublished - 4 Jul 2023

Keywords

  • ARG copy per cell
  • long-read sequencing
  • metagenomics
  • one-health
  • standardization

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